Atibaia vs Juventus: result 1-1 and analysis
Copa Paulista1st Round - 3Kick-off on September 21, 2021 at 06:00 PM (UTC)Estádio Municipal Dr. Mário Martins Pereira, São José dos Campos, São Paulo
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What was the result of Atibaia vs Juventus?
Atibaia and Juventus drew 1-1 on September 21, 2021.
Goalscorers
- 50′Elias dos Santos BuenoAtibaia (pen.)
- 90′FelipinhoJuventus (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atibaia have 6 wins, 5 draws and 4 defeats; Juventus have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2021 | Taubaté(away) | 2-1 | Copa Paulista |
| May 21, 2021 | São Bernardo(home) | 1-1 | Paulista - A2 |
| May 18, 2021 | São Bernardo(away) | 0-1 | Paulista - A2 |
| May 15, 2021 | XV de Piracicaba(away) | 0-0 | Paulista - A2 |
| May 12, 2021 | Juventus(home) | 2-1 | Paulista - A2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2021 | Taubaté(home) | 1-0 | Copa Paulista |
| Sep 14, 2021 | Portuguesa(away) | 1-2 | Copa Paulista |
| May 15, 2021 | EC São Bernardo(home) | 2-1 | Paulista - A2 |
| May 12, 2021 | Atibaia(away) | 1-2 | Paulista - A2 |
| May 9, 2021 | XV de Piracicaba(away) | 1-1 | Paulista - A2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Atibaia win(s), 1 draw(s), 0 Juventus win(s).
| Date | Score | Competition |
|---|---|---|
| May 12, 2021 | Atibaia 2-1 Juventus | Paulista - A2 |
| Aug 30, 2020 | Juventus 1-1 Atibaia | Paulista - A2 |
How many goals should we expect?
Atibaia score 1.1 and concede 0.7 goals per match over their last 15; Juventus score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atibaia | 1.1 | 0.7 | 5 | 7/15 | 5/15 |
| Juventus | 1.1 | 1.3 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy